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Samuel AnganSA

Samuel Angan

Full Stack Java / Python & DevOps Cloud Developer

€560/day
Sotteville-lès-Rouen, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Samuel

Full Stack & Mobile Software Engineer, specialized in the design and development of cloud-native, scalable, and product-oriented solutions. I support projects end-to-end: from technical architecture to production deployment, with a strong focus on performance, software quality, and maintainability.

My expertise covers distributed backend (microservices, APIs, data processing) as well as cross-platform mobile development, and modern DevOps and industrialization issues (CI/CD, containerization, observability).

Full Stack & Cloud Native Software Engineer


👉 **Positioning**: Full Stack / Backend / Mobile with a strong Cloud Native and industrialization component

🛠️Main Stack(Full Stack)

Flutter · Dart · Java · Spring Boot · Python · FastAPI · Angular · Node.js · REST API · Microservices · PostgreSQL · MongoDB · Git · Clean Architecture · DDD

☁️Secondary Skills(Cloud / DevOps)

Docker · Kubernetes · GitLab CI/CD · Linux · Redis · Cloud-native Architecture · Observability (Prometheus, Grafana, OpenTelemetry)
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Sotteville-lès-Rouen (up to 50km), Paris (up to 50km), Lille (up to 50km), Toulouse (up to 50km), Lyon (up to 50km)

Experience

  • AxioDataStack
    Full Stack / DevOps Developer
    TECH
    December 2025 - Today (8 months)
    Sotteville-lès-Rouen, France

    CMFI Account Pro – Mobile Routine Tracking Application


    Design and development of a cross-platform mobile application (Android & iOS) allowing users to structure, track, and analyze their daily routines.

    The goal is to help improve productivity and consistency through intelligent habit tracking and personalized feedback.

    ## Value Provided


    The application allows to:

    • Track and organize personal routines simply and effectively
    • Measure the progression and consistency of habits over time
    • Improve productivity through smart reminders and notifications
    • Generate actionable reports of completed activities

    ## Main Features

    • Real-time timer with event and interval management
    • Meta-routine system with performance metrics aggregation
    • Generation of personalized reports (WhatsApp, PDF)
    • Persistent notifications and Live Activities (iOS 16.2+)
    • Internationalization (FR / EN)

    ## Architecture and Technology

    • Development inFlutterfor a unified Android and iOS application
    *Clean Architecture + DDDarchitecture for a maintainable and scalable base
    • State management withRiverpod
    • Local storage withDrift (SQLite)including data backup and restore
    • Implementation of aCI/CD pipeline with GitLab and Codemagicto automate deployments

    ## Result


    A high-performing and scalable mobile application, focused on user experience, enabling structured routine tracking with strong personalization and an architecture ready for product evolution.
    Flutter GitLab CI/CD Clean Architecture SQLite Android/iOS
  • Jeunesse et Vie
    Full Stack Developer
    TECH
    August 2024 - November 2025 (1 year and 3 months)
    Rouen, France

    Multi-Warehouse Inventory Management Application


    Design and development of a cloud-native inventory management application for multiple warehouses, enabling real-time tracking of stock entries, exits, and levels.

    The objective was to offer a modular, scalable solution suitable for industrial and logistics environments.

    ## Main Achievements

    • Development of microservices withJava 17 and Spring Bootfor inventory and warehouse management.
    • Implementation of a service-oriented architecture allowing clear separation of responsibilities.
    • Design and exposure of secure REST APIs for integration with the front-end and internal services.
    • Development of a user interface withAngularfor inventory management and consultation.
    • Use ofMongoDBfor data storage (products, stock movements, history).
    • Implementation of a containerization system withDockerto facilitate deployment.
    • Integration of a CI/CD pipeline withGitLab CIto automate tests and deployments.

    ## Architecture and Technical Approach


    The project is based on a modular microservices architecture, inspired by the best practices of enterprise management systems.
    An event-driven approach allows tracking critical stock actions and ensuring better traceability of operations.

    ## Result


    A scalable and industrializable application, designed to support load increases and future integration of new modules (logistics, reporting, stock forecasting).
    Angular MySQL/MongoDB External API Integration Microservices Architecture Docker & CI/CD (GitLab)
  • Jeunesse et Vie
    Full Stack Developer
    TECH
    October 2023 - August 2025 (1 year and 10 months)
    Rouen, France

    Instagram Profile Scoring and Analysis Engine


    Design and development of an intelligent analysis and scoring system to evaluate Instagram profiles based on their content and biographies.

    The objective is to automatically identify the interests, dominant themes, and potential influence level of the analyzed accounts.

    ## Value Provided


    The system allows to:

    • Better understand audiences and their interests
    • Identify weak signals related to specific themes or motivations
    • Rank users based on their thematic consistency and textual engagement level
    • Facilitate the analysis of large profile databases for segmentation purposes

    ## Main Features

    • Automatic analysis of posts and biographies using NLP and embedding techniques (Transformers)
    • Extraction of dominant themes and interests per user
    • Implementation of a multi-criteria scoring engine (influence, consistency, engagement)
    • Processing of large data volumes (approx. 780,000 Instagram accounts)
    • Making results available via a REST API

    ## Architecture and Performance

    • Backend developed inPython
    • API withFastAPI
    • Asynchronous and distributed processing withCelery
    • Performance optimization viaRedis (cache and task queue)
    • Data storage inPostgreSQL
    • Containerized infrastructure withDocker(API, workers, database)

    ## Result


    A scalable solution capable of processing large volumes of social data and producing actionable automated analyses for segmentation, audience study, and decision support.
    Python NLP (Natural Language Processing) Machine Learning Algorithms FastAPI Distributed Architecture & PostgreSQL

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Education

  • Engineer in Digital Services Engineering
    ESIGELEC
    2023
    Ingénieur en Ingénierie des Services du numérique
  • Preparatory Class (Math, Physics, Computer Science)
    ESTEM
    2020
    Classe Preparatoire (Math, Physique, informatique)

Skill set

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